Data Engineer - €35.000 - €50.000 A Year - Remote

Webologix Ltd/ Inc; Huelva; À distance; EUR 35 000 - 50 000; Plein temps

Résumé du poste

Webologix Ltd/ Inc is seeking a Senior Data Engineer to design, build, test, and deploy robust data pipelines and platforms using AWS services. You will work on data lakes, lake houses, and data mesh architectures, collaborating with cross‑functional teams to deliver scalable data solutions.

The role requires 3+ years of cloud experience, strong Python/SQL, Spark/Scala, and a deep understanding of ETL design. This is a remote permanent position with a competitive salary and growth opportunities.

Qualifications

• 3+ years of cloud experience with hands-on AWS data services
• Strong SQL, Python, Spark/Scala and ETL design
• Experience designing data lakes, lake houses, or data mesh architectures

Responsabilités

• Design, develop, test, and deploy data pipelines and platforms using AWS services
• Implement data lake, lake house, or data mesh architectures
• Collaborate with data engineers, analysts, and DevOps to deliver business solutions
• Ensure governance, security, and records management compliance
• Troubleshoot data issues, supporting change management
• Own projects from inception to delivery

Connaissances

Spark/Scala

Python

SQL

AWS Data Services

ETL design

Data modelling

Analytical thinking

Problem solving

Attention to detail

Formation

University degree in tech

Outils

GitHub Actions

Apache Iceberg

Great Expectations

Deequ

Bash

HCL

Description du poste

Role : Senior Data Engineer ( 4 positions)

Location : Remote

Type : Permanent

Salary : 35-50K euros gross per year

We are seeking Expert Data Engineers to join our team, responsible for designing, developing, testing, and deploying robust data solutions. The ideal candidates will have hands-on experience with AWS data services such as S3, Glue, Athena, EMR, EC2, and Lambda, and a strong understanding of modern data architectures including data lakes, lake houses, and data mesh. They will collaborate with cross-functional teams to deliver scalable data pipelines, data warehouses, and data marts, ensuring data quality, security, and compliance.

Job Responsibilities / Role

• Design, develop, test, and deploy data pipelines and data platforms using AWS services
• Implement and maintain data lake, lake house, or data mesh architectures
• Collaborate with data engineers, analysts, and DevOps teams to deliver business solutions
• Ensure compliance with data governance, security, and records management policies
• Troubleshoot and resolve data-related issues, supporting change management processes
• Demonstrate ownership of projects from inception to delivery

Mandatory Skills

• In‑depth understanding of when to use a range of tools as opposed to limited practical experience in a specific set of tools
• Experience level to be a minimum of 3+ working years in cloud
• Spark/Scala
• Python
• SQL
• AWS expertise in services such as S3, Glue, Athena, EMR, EC2, and Lambda
• ETL design and data modelling
• Analytical thinking: ability to anticipate all edge cases and scalable xhfqzwm issues in the future
• Problem‑solving skills
• Attention to detail

Nice To Have

• Familiarity with CI/CD tools (e.G., GitHub Actions)
• Experience with Apache Iceberg or similar table formats
• Exposure to data quality frameworks (e.G., Great Expectations, Deequ)
• Knowledge of Bash and HCL would be an added advantage
• Strong communication skills
• Proactive and self‑motivated
• Commitment to continuous learning and improvement
• University degree in technology, preferably in computer science